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一种Kaimal谱的修正方法及算法实现 被引量:1

A Method for Improving Kaimal Spectrum and its Algorithm Implementation
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摘要 本文发现了脉动风速方差模拟值与设定值存在着误差,分析了引起误差的原因。得到了在不同的湍流尺度与风速比值L/U的情况下,截止频率和初始频率对模拟风速方差的影响,给出了截止频率和初始频率的推荐值,并对Kaimal谱进行了修正。运用修正后的Kaimal谱及平稳随机过程方法,得到了模拟脉动风速时程数据。实例数据表明:模拟脉动风速数据的标准差符合工程应用要求,模拟功率谱与目标风谱吻合得很好。 This paper reveals that obvious errors exist between simulated variance and settled variance, and then analyzes the causes of those errors. The effects of initial frequency and cut-off frequency on the simulated variance are ascertained with different turbulent length/wind speed ratio, frequency are given, and a method is developed to reduce these then the recommended initial frequency and cut-off effects. Using the improved Kaimal spectra and sta- tionary random method, stochastic wind data at hub height is simulated. The wind time-series show that the simula- ted wind velocity satisfies statistical standard deviation demand, and simulated spectra well conform to the target power spectral.
出处 《机械科学与技术》 CSCD 北大核心 2013年第10期1446-1450,共5页 Mechanical Science and Technology for Aerospace Engineering
关键词 随机风场模型 Kaimal谱 截断误差 模型修正 数值方法 wind field turbulence flow velocity errors numerical methods kaimal spectra
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参考文献7

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